Artificial Intelligence: Theory and Practice

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Benjamin/Cummings Publishing Company, 1995 - Computers - 563 pages
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This book provides a detailed understanding of the broad issues in artificial intelligence and a survey of current AI technology. The author delivers broad coverage of innovative representational techniques, including neural networks, image processing and probabilistic reasoning, alongside the traditional methods of symbolic reasoning. The work is intended for students in artificial intelligence, researchers and LISP programmers.

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Contents

INTRODUCTION
1
PLANNING
7
SYMBOLIC PROGRAMMING
25
Copyright

21 other sections not shown

Common terms and phrases

abstract abstract data type algorithm apply arguments assigned associated axioms basis functions believe(a best-first search boolean functions breadth-first breadth-first search called chapter Common Lisp concept configuration conjunction consider consistent corresponding data type database decision tree defined defun depth-first search described determine discrimination tree disjunction environment eval evaluation function expression formula genetic algorithms given goal gradient graph hypothesis space implementation indicates initial input instance interpretation involving iterative labeled lambda language logic mapcar match method objects operators output pairs parameters particular perceptron perform possible problem propositional propositional logic quantified reasoning recursive represent representation result returns robot rules of inference search space semantics sentence sequence setq shown in Figure situation calculus specified step structure subset symbol techniques theorem theory tion training examples True variables weights

References to this book

About the author (1995)

James Allen is the John H. Dessaurer Professor of Computer Science at the University of Rochester. He has taught natural language processing to undergraduate and graduate students for 14 years. He is a fellow of the AAAI and was the recipient of the Presidential Young Investigator Award (1985-1989). In addition, Professor Allen was the Editor-in- Chief of Computational Linguistics from 1983-1993.



0805325476AB04062001

Bibliographic information

QR code for Artificial Intelligence
TitleArtificial Intelligence: Theory and Practice
AuthorsThomas L. Dean, James Allen, John Aloimonos
PublisherBenjamin/Cummings Publishing Company, 1995
Original fromthe University of Michigan
DigitizedNov 16, 2007
ISBN0805325476, 9780805325478
Length563 pages
Subjects › 

Computers / Intelligence (AI) & Semantics
  
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